Sivan Sabato - RankMe

90 papers A* 19A 7B 5Misc 1Journal 49Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentially Private Source-Target Clustering. Trans. Mach. Learn. Res. Shachar Schnapp, Sivan Sabato
2025	J	`jnl`	Discriminative Feature Feedback with General Teacher Classes. CoRR Omri Bar Oz, Tosca Lechner, Sivan Sabato
2025	A*	`conf`	Disparate Conditional Prediction in Multiclass Classifiers. ICML Sivan Sabato, Eran Treister, Elad Yom-Tov
2024	B	`conf`	Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies. ALT Shlomi Weitzman, Sivan Sabato
2024	J	`jnl`	Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies. CoRR Shlomi Weitzman, Sivan Sabato
2023	A	`conf`	Fast Distributed k-Means with a Small Number of Rounds. AISTATS Tom Hess, Ron Visbord, Sivan Sabato
2023	A	`conf`	Improved Robust Algorithms for Learning with Discriminative Feature Feedback. AISTATS Sivan Sabato
2023	A*	`ed.`	International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. ICML Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett
2023	A	`conf`	On the Capacity Limits of Privileged ERM. AISTATS Michal Sharoni, Sivan Sabato
2023	J	`jnl`	On the Capacity Limits of Privileged ERM. CoRR Michal Sharoni, Sivan Sabato
2022	A*	`conf`	A Fast Algorithm for PAC Combinatorial Pure Exploration. AAAI Noa Ben-David, Sivan Sabato
2022	J	`jnl`	Active Structure Learning of Bayesian Networks in an Observational Setting. J. Mach. Learn. Res. Noa Ben-David, Sivan Sabato
2022	J	`jnl`	Fast Distributed k-Means with a Small Number of Rounds. CoRR Tom Hess, Ron Visbord, Sivan Sabato
2022	J	`jnl`	Improved Robust Algorithms for Learning with Discriminative Feature Feedback. CoRR Sivan Sabato
2022	J	`jnl`	Inferring Unfairness and Error from Population Statistics in Binary and Multiclass Classification. CoRR Sivan Sabato, Eran Treister, Elad Yom-Tov
2022	A*	`ed.`	International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. ICML Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu, Sivan Sabato
2021	J	`jnl`	A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. CoRR Tom Hess, Michal Moshkovitz, Sivan Sabato
2021	A*	`conf`	A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering. NeurIPS Tom Hess, Michal Moshkovitz, Sivan Sabato
2021	J	`jnl`	A Fast Algorithm for PAC Combinatorial Pure Exploration. CoRR Noa Ben-David, Sivan Sabato
2021	A*	`conf`	Active Feature Selection for the Mutual Information Criterion. AAAI Shachar Schnapp, Sivan Sabato
2021	J	`jnl`	Active Structure Learning of Bayesian Networks in an Observational Setting. CoRR Noa Ben-David, Sivan Sabato
2021	B	`ed.`	Algorithmic Learning Theory, 16-19 March 2021, Virtual Conference, Worldwide. ALT Vitaly Feldman, Katrina Ligett, Sivan Sabato
2021	A*	`conf`	Approximating a Distribution Using Weight Queries. ICML Nadav Barak, Sivan Sabato
2020	J	`jnl`	Active Feature Selection for the Mutual Information Criterion. CoRR Shachar Schnapp, Sivan Sabato
2020	J	`jnl`	Analysis of loss functions for fast single-class classification. Knowl. Inf. Syst. Gil Keren, Sivan Sabato, Björn W. Schuller
2020	J	`jnl`	Approximating a Target Distribution using Weight Queries. CoRR Nadav Barak, Sivan Sabato
2020	A*	`conf`	Bounding the fairness and accuracy of classifiers from population statistics. ICML Sivan Sabato, Elad Yom-Tov
2020	A	`conf`	Robust Learning from Discriminative Feature Feedback. AISTATS Sanjoy Dasgupta, Sivan Sabato
2020	J	`jnl`	Robust Learning from Discriminative Feature Feedback. CoRR Sanjoy Dasgupta, Sivan Sabato
2020	A	`conf`	Sequential no-Substitution k-Median-Clustering. AISTATS Tom Hess, Sivan Sabato
2020	Misc	`conf`	Universal Bayes Consistency in Metric Spaces. ITA Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2019	A*	`conf`	A Walkthrough for the Principle of Logit Separation. IJCAI Gil Keren, Sivan Sabato, Björn W. Schuller
2019	J	`jnl`	BacPaCS - Bacterial Pathogenicity Classification via Sparse-SVM. Bioinform. Eran Barash, Neta Sal-Man, Sivan Sabato, Michal Ziv-Ukelson
2019	A*	`conf`	Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits. NeurIPS Sivan Sabato
2019	J	`jnl`	Sequential no-Substitution k-Median-Clustering. CoRR Tom Hess, Sivan Sabato
2019	A*	`conf`	Temporal Anomaly Detection: Calibrating the Surprise. AAAI Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer
2019	J	`jnl`	Universal Bayes consistency in metric spaces. CoRR Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2018	A*	`conf`	Fast Single-Class Classification and the Principle of Logit Separation. ICDM Gil Keren, Sivan Sabato, Björn W. Schuller
2018	A*	`conf`	Learning from discriminative feature feedback. NeurIPS Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts, Sivan Sabato
2018	J	`jnl`	Submodular learning and covering with response-dependent costs. Theor. Comput. Sci. Sivan Sabato
2017	J	`jnl`	Active Nearest-Neighbor Learning in Metric Spaces. J. Mach. Learn. Res. Aryeh Kontorovich, Sivan Sabato, Ruth Urner
2017	J	`jnl`	Fast Single-Class Classification and the Principle of Logit Separation. CoRR Gil Keren, Sivan Sabato, Björn W. Schuller
2017	J	`jnl`	Interactive Algorithms: Pool, Stream and Precognitive Stream. J. Mach. Learn. Res. Sivan Sabato, Tom Hess
2017	—	`conf`	Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions. NIPS Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2017	J	`jnl`	Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions. CoRR Aryeh Kontorovich, Sivan Sabato, Roi Weiss
2017	J	`jnl`	Temporal anomaly detection: calibrating the surprise. CoRR Eyal Gutflaish, Aryeh Kontorovich, Sivan Sabato, Ofer Biller, Oded Sofer
2017	J	`jnl`	The submodular secretary problem under a cardinality constraint and with limited resources. CoRR Tom Hess, Sivan Sabato
2017	A*	`conf`	Tunable Sensitivity to Large Errors in Neural Network Training. AAAI Gil Keren, Sivan Sabato, Björn W. Schuller
2016	—	`conf`	Active Nearest-Neighbor Learning in Metric Spaces. NIPS Aryeh Kontorovich, Sivan Sabato, Ruth Urner
2016	J	`jnl`	Active Nearest-Neighbor Learning in Metric Spaces. CoRR Aryeh Kontorovich, Sivan Sabato, Ruth Urner
2016	A*	`conf`	Interactive Algorithms: from Pool to Stream. COLT Sivan Sabato, Tom Hess
2016	J	`jnl`	Interactive algorithms: From pool to stream. CoRR Sivan Sabato, Tom Hess
2016	J	`jnl`	Loss Minimization and Parameter Estimation with Heavy Tails. J. Mach. Learn. Res. Daniel J. Hsu, Sivan Sabato
2016	B	`conf`	Submodular Learning and Covering with Response-Dependent Costs. ALT Sivan Sabato
2016	J	`jnl`	Submodular Learning and Covering with Response-Dependent Costs. CoRR Sivan Sabato
2016	J	`jnl`	Tunable Sensitivity to Large Errors in Neural Network Training. CoRR Gil Keren, Sivan Sabato, Björn W. Schuller
2015	J	`jnl`	Learning sparse low-threshold linear classifiers. J. Mach. Learn. Res. Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro, Daniel J. Hsu, Tong Zhang
2015	J	`jnl`	Multiclass learnability and the ERM principle. J. Mach. Learn. Res. Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz
2014	—	`conf`	Active Regression by Stratification. NIPS Sivan Sabato, Rémi Munos
2014	J	`jnl`	Active Regression by Stratification. CoRR Sivan Sabato, Rémi Munos
2014	A*	`conf`	Heavy-tailed regression with a generalized median-of-means. ICML Daniel J. Hsu, Sivan Sabato
2013	J	`jnl`	Approximate loss minimization with heavy tails. CoRR Daniel J. Hsu, Sivan Sabato
2013	—	`conf`	Auditing: Active Learning with Outcome-Dependent Query Costs. NIPS Sivan Sabato, Anand D. Sarwate, Nati Srebro
2013	J	`jnl`	Auditing: Active Learning with Outcome-Dependent Query Costs. CoRR Sivan Sabato, Anand D. Sarwate, Nathan Srebro
2013	A	`conf`	Clustering Oligarchies. AISTATS Margareta Ackerman, Shai Ben-David, David Loker, Sivan Sabato
2013	J	`jnl`	Distribution-dependent sample complexity of large margin learning. J. Mach. Learn. Res. Sivan Sabato, Nathan Srebro, Naftali Tishby
2013	—	`conf`	Efficient Active Learning of Halfspaces: an Aggressive Approach. ICML (1) Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
2013	J	`jnl`	Efficient active learning of halfspaces: an aggressive approach. J. Mach. Learn. Res. Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
2013	J	`jnl`	Feature Multi-Selection among Subjective Features CoRR Sivan Sabato, Adam Kalai
2013	—	`conf`	Feature Multi-Selection among Subjective Features. ICML (3) Sivan Sabato, Adam Kalai
2013	J	`jnl`	Multiclass learnability and the ERM principle. CoRR Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz
2012	J	`jnl`	Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics CoRR Sivan Sabato, Nati Srebro, Naftali Tishby
2012	J	`jnl`	Efficient Pool-Based Active Learning of Halfspaces CoRR Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
2012	J	`jnl`	Learning Sparse Low-Threshold Linear Classifiers CoRR Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro, Daniel J. Hsu, Tong Zhang
2012	J	`jnl`	Multi-instance learning with any hypothesis class. J. Mach. Learn. Res. Sivan Sabato, Naftali Tishby
2012	J	`jnl`	Multiclass Learning Approaches: A Theoretical Comparison with Implications CoRR Amit Daniely, Sivan Sabato, Shai Shalev-Shwartz
2012	—	`conf`	Multiclass Learning Approaches: A Theoretical Comparison with Implications. NIPS Amit Daniely, Sivan Sabato, Shai Shalev-Shwartz
2012	—	`—`	Partial information and distribution-dependence in supervised learning models (שער נוסף בעברית: מידע חלקי ותלות בהתפלגות במודלים של למידה מונחית.). Sivan Sabato
2011	J	`jnl`	Active Learning Halfspaces under Margin Assumptions CoRR Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
2011	J	`jnl`	Multi-Instance Learning with Any Hypothesis Class CoRR Sivan Sabato, Naftali Tishby
2011	A*	`conf`	Multiclass Learnability and the ERM principle. COLT Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz
2010	J	`jnl`	Learning and generalization with the information bottleneck. Theor. Comput. Sci. Ohad Shamir, Sivan Sabato, Naftali Tishby
2010	A	`conf`	Reducing Label Complexity by Learning From Bags. AISTATS Sivan Sabato, Nathan Srebro, Naftali Tishby
2010	J	`jnl`	Tight Sample Complexity of Large-Margin Learning CoRR Sivan Sabato, Nathan Srebro, Naftali Tishby
2010	—	`conf`	Tight Sample Complexity of Large-Margin Learning. NIPS Sivan Sabato, Nathan Srebro, Naftali Tishby
2009	A*	`conf`	Homogeneous Multi-Instance Learning with Arbitrary Dependence. COLT Sivan Sabato, Naftali Tishby
2008	B	`conf`	Learning and Generalization with the Information Bottleneck. ALT Ohad Shamir, Sivan Sabato, Naftali Tishby
2008	J	`jnl`	Ranking Categorical Features Using Generalization Properties. J. Mach. Learn. Res. Sivan Sabato, Shai Shalev-Shwartz
2007	A*	`conf`	Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking. COLT Sivan Sabato, Shai Shalev-Shwartz
2007	B	`conf`	Preprocessing Expression-Based Constraint Satisfaction Problems for Stochastic Local Search. CPAIOR Sivan Sabato, Yehuda Naveh